Abstract: Systems and methods are provided for obtaining and managing remote sensing data (e.g. Earth observation data). A remote sensing platform obtains imagery and other remote sensing data of the Earth and other planetary objects. The remote sensing platform includes the International Space Station, or manned and unmanned spacecraft or aircraft. A sensor captures observation data and transmits the data to ground stations on the Earth. A ground segment receives and stores the data. Users use an order management system to place orders for the observation data, which specify processing parameters for the remote sensing data. The remote sensing data is retrieved from storage is processed according to the parameters to generate a data product. This system provides tools for searching and analyzing the data, and for interacting with the system through an API. The system combines data that is produced by the remote sensing platform and by third parties.

Abstract: A synthetic aperture radar (SAR) system may employ SAR imaging to advantageously estimate or monitor a transit characteristic (e.g., velocity, acceleration) of a vehicle, for example a ground based vehicle or water based vehicle. A dual-beam SAR antenna illuminate a moving target with a first radar beam and a second radar beam at an angular offset relative to the first radar beam. Pulses may be transmitted and backscattered energy received simultaneously by the SAR transceiver via the first and second radar beams. A SAR data processor may generate a first image from the first radar beam and a second image from the second radar beam, co-registering the first and second images, comparing the location of the moving target in the first and second images, and estimate a velocity of the moving target based at least in part on the angular offset.

Abstract: A synthetic aperture radar (SAR) system may employ SAR imaging to advantageously estimate or monitor a transit characteristic (e.g., velocity, acceleration) of a vehicle, for example a ground based vehicle or water based vehicle. A dual-beam SAR antenna illuminate a moving target with a first radar beam and a second radar beam at an angular offset relative to the first radar beam. Pulses may be transmitted and backscattered energy received simultaneously by the SAR transceiver via the first and second radar beams. A SAR data processor may generate a first image from the first radar beam and a second image from the second radar beam, co-registering the first and second images, comparing the location of the moving target in the first and second images, and estimate a velocity of the moving target based at least in part on the angular offset.

Abstract: Systems and methods are provided for obtaining and managing remote sensing data (e.g. Earth observation data). A remote sensing platform obtains imagery and other remote sensing data of the Earth and other planetary objects. The remote sensing platform includes the International Space Station, or manned and unmanned spacecraft or aircraft. A sensor captures observation data and transmits the data to ground stations on the Earth. A ground segment receives and stores the data. Users use an order management system to place orders for the observation data, which specify processing parameters for the remote sensing data. The remote sensing data is retrieved from storage is processed according to the parameters to generate a data product. This system provides tools for searching and analyzing the data, and for interacting with the system through an API. The system combines data that is produced by the remote sensing platform and by third parties.

Abstract: A synthetic aperture radar (SAR) system may employ SAR imaging to advantageously estimate or monitor a transit characteristic (e.g., velocity, acceleration) of a vehicle, for example a ground based vehicle or water based vehicle. A dual-beam SAR antenna illuminate a moving target with a first radar beam and a second radar beam at an angular offset relative to the first radar beam. Pulses may be transmitted and backscattered energy received simultaneously by the SAR transceiver via the first and second radar beams. A SAR data processor may generate a first image from the first radar beam and a second image from the second radar beam, co-registering the first and second images, comparing the location of the moving target in the first and second images, and estimate a velocity of the moving target based at least in part on the angular offset.

Abstract: An image processing system generates enhanced synthetic aperture radar (SAR) imagery using a trainer that generates an information model that defines a set of trained data based on correlated classifications of pairs of spatially and/or temporally coincident SAR and optical images, and using a SAR image enhancer that applies a transformation to generate a color image from the SAR image data. Correlated classifications may be based on specific applications. The system may generate or update trained data to be used for classification based on a set of training SAR images and training optical images. The system may assess or determine correlations between the classified SAR and optical image data sets, establishing levels of confidence in such correlations.

Abstract: Systems and methods are provided for processing observation data. Processes and capabilities include: obtaining images and metadata associated with the images; encoding the images and the metadata to generate encoded tiles; storing the encoded tiles in an encoded tiles database; receiving a request for a map tile; searching the encoded tiles database and obtaining the encoded tiles that are relevant to the request; merging data from the encoded tiles into the map tile; and outputting the map tile. The images and metadata may be obtained from Earth observation platforms, including satellites or aircraft. The map tiles may include spectral content, data source identification, acquisition date/time, sensor characteristics, sun angles, calibration parameters, a cloud mask, a snow mask, a land mask, a water mask, and a missing data mask.

Abstract: Systems and methods are provided for obtaining and managing remote sensing data (e.g. Earth observation data). A remote sensing platform obtains imagery and other remote sensing data of the Earth and other planetary objects. The remote sensing platform includes the International Space Station, or manned and unmanned spacecraft or aircraft. A sensor captures observation data and transmits the data to ground stations on the Earth. A ground segment receives and stores the data. Users use an order management system to place orders for the observation data, which specify processing parameters for the remote sensing data. The remote sensing data is retrieved from storage is processed according to the parameters to generate a data product. This system provides tools for searching and analyzing the data, and for interacting with the system through an API. The system combines data that is produced by the remote sensing platform and by third parties.

Abstract: Systems and methods are provided for processing observation data. Processes and capabilities include: obtaining images and metadata associated with the images; encoding the images and the metadata to generate encoded tiles; storing the encoded tiles in an encoded tiles database; receiving a request for a map tile; searching the encoded tiles database and obtaining the encoded tiles that are relevant to the request; merging data from the encoded tiles into the map tile; and outputting the map tile. The images and metadata may be obtained from Earth observation platforms, including satellites or aircraft. The map tiles may include spectral content, data source identification, acquisition date/time, sensor characteristics, sun angles, calibration parameters, a cloud mask, a snow mask, a land mask, a water mask, and a missing data mask.